摘要：AbstractFast stochastic model predictive control (FSMPC) is a multivariable control algorithm that explicitly takes constraints and probabilistic parametric uncertainties into account while having low online computational cost for dynamical systems of high state dimension. This article extends FSMPC to be applicable to model uncertainty descriptions that include unstable dynamical systems. The proposed control structure, which embeds output feedback into past FSMPC formulations, is illustrated in a numerical example. Two different options for designing the embedded output feedback are compared and discussed.
关键词：KeywordsPredictive controlprobabilistic robustnesscontrol problems under conflictuncertaintiescontrol of constrained systemsprocess controlconstrained control
